The ability to work with statistics and probability is essential for students in economics, business, science,
government, and public policy. In this course, students will be introduced to standard concepts and techniques in
statistics and probability and trained in their application. Use of statistical software and training in social science
methods will be part of this instruction. Topics covered will include: an introduction to descriptive statistics and
probability theory; discrete and continuous probability distributions; sampling; estimation and confidence
intervals; hypothesis testing; linear models, linear regression, and least squares estimation; chi square testing; and
analysis of variance.
Pre-requisite: A grade of C in one of MAT-155, MAT-160, MAT-260, or MAT-170 (or equivalents).